Stop guessing why your app is slow. Use AI to analyze flame graphs, traces, and code hot paths with senior judgment.
Reading production traces and GC logs is a specialized skill that takes years to master. AI changes the game by acting as an expert interpreter.
Learn how to leverage AI across the entire performance stack.
Feed AI your flame graphs and learn how to ask for the 'heavy lifters' in your code base.
Systematically reduce TTFB (Time to First Byte) by analyzing request/response cycles.
Identify heap growth patterns and find where objects are sticking around longer than they should.
Learn when to refactor for performance and when to let AI rewrite critical loops in lower-level logic.
Use AI to generate complex load test scenarios that reveal architectural weaknesses before launch.
Setup AI alerts that understand 'baseline shift' vs 'normal spikes' in production metrics.
Yes, when given the right context. We teach you how to feed profiling data, flame graphs, and network traces to AI tools to identify exactly where cycles are being wasted.
No. The principles of performance optimization—profiling, data analysis, and algorithmic improvements—are language-agnostic. Whether you're in Node, Go, PHP, or Python, the workflow stays the same.
No. This course teaches you how to use AI as your expert performance consultant, helping you interpret complex metrics and suggest high-impact fixes.